Bixord: ATR Target & StopHello Traders,
You may have heard that it's highly advised you should know where your target and stoploss points are before you enter a trade.
One of the great indicators in history is the average true range a.k.a ATR.
Here is how you can use the ATR to set your target at 1.5 x ATR and stoploss at 2 x ATR:
This indicator shows you where the 1.5 x ATR and 2 x ATR from bar close on chart instead of manually calculating it by hand.
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Probability of ATR Index (On-chart) [racer8]This indicator is an on-chart version of my other indicator called Probability of ATR Index (PAI) that was published on October 16th 2020.
PAI is an indicator I created that tells you the probability of current price moving a specified ATR distance over a specified number of periods into the future. It takes into account 4 variables: the ATR & the standard deviation of price, and the 2 parameters: ATR distance and # bars (time).
The formula is very complex so I will not be able to explain it without confusion arising.
The reason I created this PAI was because the other PAI does not show you levels. This one plots the price levels that correspond to your specified ATR distance. So it makes it easier for options traders to set their strangle or condor.
Enjoy 😀
Wilder's Volatility Trailing Stop Strategy with various MA'sFor Educational Purposes. Results can differ on different markets and can fail at any time. Profit is not guaranteed.
This only works in a few markets and in certain situations. Changing the settings can give better or worse results for other markets. This strategy is based on Wilder's Volatility System. It is an ATR trailing stop that is used for long term trends. This strategy focuses on the trailing stop alone and goes long and short only when it goes above or below the trailing line. It is similar to Donchian channels except it does not include the certain period channel breakout, only the trailing signal. This is only the trailing stop and an attempt to show how well it works standalone as Wilder described.
In his book, Wilder recommends a multiplier of 2.8-3.1 and an ATR lookback of 7 periods along with a running moving average or otherwise known as Wilder's moving average. The calculation and programming part for the trailing stop varies everywhere. I opted to keep it as simple and accurate as I could think of and interpret from the book. The variations to these types of indicators are numerous unfortunately, but Wilder seems to be the original author of ATR and this ATR-based trailing stop. In his book he says to use the significant closing price or highest/lowest closing price for the calculation part but I also included the option of choosing the highest high and lowest low, and the option to choose various moving averages in case anyone wants to experiment.
Comparing this and Donchian channels, it seems that a 2.5 multiplier is somewhat similar to the middle band of DCs and a 3.0 multiplier is somewhat similar to a double length middle band of DCs. It's hard to say which is the better trailing stop for a long term strategy. It's hard to beat the simplicity of DCs but maybe some might find a need for more inputs in a trailing stop or maybe an ATR based one like Wilder's can work better depending on what setting or strategy it's used in.
Probability of ATR Index [racer8]Deriving the indicator:
PAI is an indicator I created that tells you the probability of current price moving a specified ATR distance over a specified number of periods into the future. It takes into account 4 variables: the ATR & the standard deviation of price, and the 2 parameters: ATR distance and # bars (time).
The formula is very complex so I will not be able to explain it without confusion arising.
What I can say is that I used integral calculus & the Taylor series to derive a formula that calculates the area under half of the normal distribution function. Thus, the formula was repeated twice in the code to derive the full probability (half + half = whole). If you can read the code, you might be wondering why the formula is so long...
The reason for this is because in Pine Script, the erf function doesn't exist. You see, the formula for normal distribution is: f(x) = (1/sqrt(2pi))*e^(-xx/2), assuming of course that the standard deviation = 1 and mu (mean) = 1. The next step is to take the integral of this formula in order to find the area under f(x). The problem is that I found the integral, F(x), of the normal distribution formula to be equal to F(x) = erf(x/sqrt(2))/2...and the erf function cannot be directly computed into Pinescript.
So I developed a solution...why not estimate the integral function? So that's exactly what I did using a technique involving the Taylor series. The Taylor series is an algebraic function that allows you to create a new function that can estimate the existing function. On a graph, the new function has the same values as the existing one, the only difference is that it uses a differnt formula, in this case, a formula that makes it possible to compute the integral. The disadvantage of using this new formula is that it is super long and if you want it to better represent the original integral over a wider range of x-values, you have to make it longer.
Signal Interpretion:
The hotter the colour, the more likely price will reach your specified distance.
The 2 values of PAI in the bottom window represent probability & average probability of your specifed distance geting hit.
Applications:
Stop loss placement---
This indicator is useful because it gives you an idea of the likelihood that a stop loss at a particular distance away from price (in ATRs) will be hit over a period of time specified. This is helpful in placing stop losses.
Options trading---
PAI can also be used in options trading. For example, you are using a strangle options strategy, and you want to make sure that price stays within the Strangle's profit range. So you only trade when PAI presents a low probability value of moving at a particular distance in ATRs over n periods.
Anyhow, I hope you guys like it. Enjoy! and hit that like button for me :)
Bollinger Bands %B + ATR This indicator is best suitable for the 30-minutes interval OIL charts, due to ATR accuracy.
BB%B is great for showing oversold/overbought market conditions and offers excellent entry/exit opportunities for Day Trading (30 minutes chart), as well as reliable convergence/divergence patterns. ATR is conveniently combined and shows potential market volatility levels for the day when used in 30-minutes charts, thus demarcating your day trade exit point.
To use the ATR on this indicator: Just read the ATR value of the lowest (for a new bull trend) or the highest (for a new bear trend) candlestick of the newly formed trend leg. Let's suppose the ATR reads 0.2891, then you project a move of 2.891 points towards the given trend direction using the ruler tool (30-minutes charts). That's all, and there you have your take profit target!
Good Luck!!!
SuperTrendSuperTrend is one of the most common ATR based trailing stop indicators.
In this version you can change the ATR calculation method from the settings. Default method is RMA, when the alternative method is SMA.
The indicator is easy to use and gives an accurate reading about an ongoing trend. It is constructed with two parameters, namely period and multiplier. The default values used while constructing a superindicator are 10 for average true range or trading period and three for its multiplier.
The average true range (ATR) plays an important role in 'Supertrend' as the indicator uses ATR to calculate its value. The ATR indicator signals the degree of price volatility.
The buy and sell signals are generated when the indicator starts plotting either on top of the closing price or below the closing price. A buy signal is generated when the ‘Supertrend’ closes above the price and a sell signal is generated when it closes below the closing price.
It also suggests that the trend is shifting from descending mode to ascending mode. Contrary to this, when a ‘Supertrend’ closes above the price, it generates a sell signal as the colour of the indicator changes into red.
A ‘Supertrend’ indicator can be used on equities, futures or forex, or even crypto markets and also on daily, weekly and hourly charts as well, but generally, it fails in a sideways-moving market.
I had converted Supertrend indicator code for various platforms like Metastock in 2017, but in this TradingView version special credit goes to everget - Alex Orekhov which gave a great inspiration to look my indicators better with highlights, signals and alarms. Thank you Alex.
Lancelot ATR Volume MeterThis is an experiment I did a while back ago.
I often think On Balance Volume is a great indicator as trend direction and volume cannot lie.
However, I bumped into a few problems.
It is slow, doesn't show volatility and often time it is prone to chop.
That's why I added ATR to the equation.
Original OBV calculation
src > 0? : +volume : src < 0? -volume
Modified OBV with ATR
src > 0 ? +volume * (volume / atr) : src < 0? -volume * (volume / atr)
I have used 2 ema for this modified OBV.
ema 3
ema 18
By adding ATR to the equation we can smooth out many erratic price movement. (Stop hunting)
Also, when price move slowly but steady, often prepping for a big move, this indicator will move faster.
In short, this indicator prevents you from being stop hunted and also provide great entry for a trending market.
Works well on BTCUSD XBTUSD, as well as other major liquid Pair.
Feel free to follow me on Twitter @Lancelot_Auger for more free Alpha.
Please acknowledge my effort by like and follow.
And lastly,
Save Hong Kong, the revolution of our times.
FVG Session Break Strategy with ATR RR🧠 FVG Session Break Strategy with ATR RR — Timezone-Aware, Session-Savvy, and Risk-Calibrated
This strategy captures high-probability reversals and continuations by combining Fair Value Gap (FVG) imbalances with session-based breakout logic and ATR-calibrated risk management. It’s designed for traders who want to exploit structural inefficiencies during key market sessions — with precision and portability across global exchanges.
🔍 Core Logic:
Fair Value Gap Detection: Identifies bullish and bearish FVGs using a 3-bar displacement pattern.
Session Breakout Engine: Tracks session highs and lows (Asian, London, NY) and triggers trades only when price breaks these levels — ensuring trades occur at meaningful inflection points.
ATR-Based RR Control: Dynamically sizes stop-loss and take-profit levels using ATR × multiplier, maintaining consistent risk across volatility regimes.
🌐 Timezone-Aware Session Logic:
Session boundaries are defined in UTC-5 (e.g., NY: 0930–1600) but automatically converted to the exchange’s local timezone using timestamp("Etc/GMT+5", ...). This ensures:
Accurate session detection across all markets and assets
No manual timezone adjustments needed
Robust performance on crypto, forex, and global equities
📈 Visuals:
Session highs and lows plotted in orange
Bullish and bearish FVGs marked with green and red triangles
Strategy entries and exits shown on chart with full RR logic
This strategy is ideal for traders who want to combine structural edge with session context and disciplined risk.
Custom Net ATR Mapping - NateThis indicator measures how much an asset actually moves — both on average and across full periods — so traders can compare short-term volatility with longer-term net momentum.
It displays four key metrics in a simple color-coded table:
Standard ATR – the average daily (or per-bar) range, showing typical volatility.
Net ATR – the average open-to-close move, revealing how much price tends to travel directionally within each bar.
Total Net Move – the total distance price has moved from the start to the end of the most recent measurement window.
Average Net Move – the typical size of that full-period move, averaged across multiple recent windows.
Together these readings help you see whether recent price action is choppy but contained (high ATR, low net move) or sustained and directional (high net move relative to ATR) — useful for spotting trend strength, breakout potential, or range-bound conditions.
Custom MACD (Normalized by ATR)This is a modified version of the classic MACD indicator.
Instead of using just the difference between EMA(12) and EMA(26), this version normalizes the MACD line by ATR(26) and scales it by 100:
* 100
This adjustment makes the MACD relative to market volatility, allowing for easier comparison across assets and timeframes.
The idea of normalizing MACD with ATR comes from Alex Spioglou, who suggested this improvement to enhance signal consistency in volatile markets.
Plots include the ATR-normalized MACD line, the signal line, and the histogram, with rising/falling color cues and built-in alert conditions.
Average True Range TrackerThis indicator calculates the daily ATR of the past 14 days. The ATR% indicates the range completed for the day. The ATR indicates the average daily range. The 20% ATR indicates the value of 20% of the daily ATR for retracement purposes.
nitai Daily ATR – Top Right PanelThis script calculates the Daily ATR (Average True Range) and displays it in a compact panel on the top-right corner of the chart.
The panel includes:
• ATR in USD (based on a user-defined period, default = 30)
• ATR% – volatility expressed as a percentage of the price
• ATR% EMA – smoothed volatility trend using an Exponential Moving Average
• Close + ATR and Close – ATR – projected upper and lower daily range levels
Use this tool to quickly assess daily volatility, compare stocks by relative movement, and support risk management (e.g., stop-loss placement).
Designed for traders who want a clean and simple volatility dashboard directly on the chart.
Candle Spread + ATR SMA Analysis
This indicator combines elements from two popular open-source scripts — Candle Range Compare
by @oldinvestor
and Objective Analysis of Spread (VSA)
by @Rin-Nin
— into a single tool for analyzing candle spreads (ranges and bodies) in relation to volatility benchmarks.
🔎 What It Does
Candle Decomposition:
Plots total candle ranges (high–low) in gray, for both up and down closes.
Plots up-close bodies (open–close) in white.
Plots down-close bodies in black.
This makes it easy to spot whether volatility comes from real price movement (body) or extended wicks.
ATR & SMA Volatility Bands:
Calculates ATR (Average True Range) and overlays it as a black line.
Plots four volatility envelopes derived from the SMA of the true range:
0.8× (blue, shaded)
1.3× (green)
1.8× (red)
3.0× (purple)
Colored fill zones highlight when candle spreads are below, within, or above key thresholds.
Visual Context:
Track expansion/contraction in spreads.
Compare bullish (white) vs bearish (black) bodies to gauge buying/selling pressure.
Identify when candles stretch beyond typical volatility ranges.
📈 How To Use It
VSA context: Wide down bars (black) beyond ATR bands may suggest supply; wide up bars (white) may indicate demand.
Trend confirmation: Expanding ranges above average thresholds (green/red/purple bands) often confirm momentum.
Reversal potential: Small bodies but large ranges (gray + wicks) frequently appear at turning points.
Volatility filter: Use ATR bands to filter trades — e.g., only act when candle ranges exceed 1.3× or 1.8× SMA thresholds.
🙏 Credits
This script is inspired by and combines ideas from:
Candle Range Compare
by @oldinvestor
Objective Analysis of Spread (VSA)
by @Rin-Nin
Big thanks to both authors for their valuable contributions to the TradingView community.
One thing I couldnt quite get to work is being able to display up and down wicks like in the candle range compare, so I just add that indicator to the chart as well, uncheck everything but the wick plots and there it is.
MTF RSI + ADX + ATR SL/TP vivekDescription:
This strategy combines the power of multi-timeframe RSI filtering with ADX trend confirmation and ATR-based risk management to capture strong directional moves.
🔑 Entry Rules:
• Daily RSI > 60
• 4H RSI > 60
• 1H RSI > 60
• 10m RSI > 40
• ADX (current timeframe) > 20
When all conditions align, a long entry is triggered.
🛡 Risk Management:
• ATR-based Stop-Loss (customizable multiplier)
• Take-Profit defined as a Risk-Reward multiple of the ATR stop
🎯 Why this Strategy?
• Ensures alignment across higher timeframes before entering a trade
• Uses ADX to avoid choppy/range-bound markets
• Built-in ATR stop-loss & take-profit for disciplined risk control
• Fully customizable parameters
This strategy is designed for trend-following swing entries. It works best on liquid instruments such as indices, forex pairs, and large-cap stocks. Always optimize the parameters based on your preferred asset and timeframe.
MTF RSI + ADX + ATR SL/TPThis strategy combines the power of multi-timeframe RSI filtering with ADX trend confirmation and ATR-based risk management to capture strong directional moves.
🔑 Entry Rules:
• Daily RSI > 60
• 4H RSI > 60
• 1H RSI > 60
• 10m RSI > 40
• ADX (current timeframe) > 20
When all conditions align, a long entry is triggered.
🛡 Risk Management:
• ATR-based Stop-Loss (customizable multiplier)
• Take-Profit defined as a Risk-Reward multiple of the ATR stop
🎯 Why this Strategy?
• Ensures alignment across higher timeframes before entering a trade
• Uses ADX to avoid choppy/range-bound markets
• Built-in ATR stop-loss & take-profit for disciplined risk control
• Fully customizable parameters
This strategy is designed for trend-following swing entries. It works best on liquid instruments such as indices, forex pairs, and large-cap stocks. Always optimize the parameters based on your preferred asset and timeframe.
Mutanabby_AI | Ultimate Algo | Remastered+Overview
The Mutanabby_AI Ultimate Algo Remastered+ represents a sophisticated trend-following system that combines Supertrend analysis with multiple moving average confirmations. This comprehensive indicator is designed specifically for identifying high-probability trend continuation and reversal opportunities across various market conditions.
Core Algorithm Components
**Supertrend Foundation**: The primary signal generation relies on a customizable Supertrend indicator with adjustable sensitivity (1-20 range). This adaptive trend-following tool uses Average True Range calculations to establish dynamic support and resistance levels that respond to market volatility.
**SMA Confirmation Matrix**: Multiple Simple Moving Averages (SMA 4, 5, 9, 13) provide layered confirmation for signal strength. The algorithm distinguishes between regular signals and "Strong" signals based on SMA 4 vs SMA 5 relationship, offering traders different conviction levels for position sizing.
**Trend Ribbon Visualization**: SMA 21 and SMA 34 create a visual trend ribbon that changes color based on their relationship. Green ribbon indicates bullish momentum while red signals bearish conditions, providing immediate visual trend context.
**RSI-Based Candle Coloring**: Advanced 61-tier RSI system colors candles with gradient precision from deep red (RSI ≤20) through purple transitions to bright green (RSI ≥79). This visual enhancement helps traders instantly assess momentum strength and overbought/oversold conditions.
Signal Generation Logic
**Buy Signal Criteria**:
- Price crosses above Supertrend line
- Close price must be above SMA 9 (trend confirmation)
- Signal strength determined by SMA 4 vs SMA 5 relationship
- "Strong Buy" when SMA 4 ≥ SMA 5
- Regular "Buy" when SMA 4 < SMA 5
**Sell Signal Criteria**:
- Price crosses below Supertrend line
- Close price must be below SMA 9 (trend confirmation)
- Signal strength based on SMA relationship
- "Strong Sell" when SMA 4 ≤ SMA 5
- Regular "Sell" when SMA 4 > SMA 5
Advanced Risk Management System
**Automated TP/SL Calculation**: The indicator automatically calculates stop loss and take profit levels using ATR-based measurements. Risk percentage and ATR length are fully customizable, allowing traders to adapt to different market conditions and personal risk tolerance.
**Multiple Take Profit Targets**:
- 1:1 Risk-Reward ratio for conservative profit taking
- 2:1 Risk-Reward for balanced trade management
- 3:1 Risk-Reward for maximum profit potential
**Visual Risk Display**: All risk management levels appear as both labels and optional trend lines on the chart. Customizable line styles (solid, dashed, dotted) and positioning ensure clear visualization without chart clutter.
**Dynamic Level Updates**: Risk levels automatically recalculate with each new signal, maintaining current market relevance throughout position lifecycles.
Visual Enhancement Features
**Customizable Display Options**: Toggle trend ribbon, TP/SL levels, and risk lines independently. Decimal precision adjustments (1-8 decimal places) accommodate different instrument price formats and personal preferences.
**Professional Label System**: Clean, informative labels show entry points, stop losses, and take profit targets with precise price levels. Labels automatically position themselves for optimal chart readability.
**Color-Coded Momentum**: The gradient RSI candle coloring system provides instant visual feedback on momentum strength, helping traders assess market energy and potential reversal zones.
Implementation Strategy
**Timeframe Optimization**: The algorithm performs effectively across multiple timeframes, with higher timeframes (4H, Daily) providing more reliable signals for swing trading. Lower timeframes work well for day trading with appropriate risk adjustments.
**Sensitivity Adjustment**: Lower sensitivity values (1-5) generate fewer but higher-quality signals, ideal for conservative approaches. Higher sensitivity (15-20) increases signal frequency for active trading styles.
**Risk Management Integration**: Use the automated risk calculations as baseline parameters, adjusting risk percentage based on account size and market conditions. The 1:1, 2:1, 3:1 targets enable systematic profit-taking strategies.
Market Application
**Trend Following Excellence**: Primary strength lies in capturing significant trend movements through the Supertrend foundation with SMA confirmation. The dual-layer approach reduces false signals common in single-indicator systems.
**Momentum Assessment**: RSI-based candle coloring provides immediate momentum context, helping traders assess signal strength and potential continuation probability.
**Range Detection**: The trend ribbon helps identify ranging conditions when SMA 21 and SMA 34 converge, alerting traders to potential breakout opportunities.
Performance Optimization
**Signal Quality**: The requirement for both Supertrend crossover AND SMA 9 confirmation significantly improves signal reliability compared to basic trend-following approaches.
**Visual Clarity**: The comprehensive visual system enables rapid market assessment without complex calculations, ideal for traders managing multiple instruments.
**Adaptability**: Extensive customization options allow fine-tuning for specific markets, trading styles, and risk preferences while maintaining the core algorithm integrity.
## Non-Repainting Design
**Educational Note**: This indicator uses standard TradingView functions (Supertrend, SMA, RSI) with normal behavior patterns. Real-time updates on current candles are expected and standard across all technical indicators. Historical signals on closed candles remain fixed and unchanged, ensuring reliable backtesting and analysis.
**Signal Confirmation**: Final signals are confirmed only when candles close, following standard technical analysis principles. The algorithm provides clear distinction between developing signals and confirmed entries.
Technical Specifications
**Supertrend Parameters**: Default sensitivity of 4 with ATR length of 11 provides balanced signal generation. Sensitivity range from 1-20 allows adaptation to different market volatilities and trading preferences.
**Moving Average Configuration**: SMA periods of 8, 9, and 13 create multi-layered trend confirmation, while SMA 21 and 34 form the visual trend ribbon for broader market context.
**Risk Management**: ATR-based calculations with customizable risk percentage ensure dynamic adaptation to market volatility while maintaining consistent risk exposure principles.
Recommended Settings
**Conservative Approach**: Sensitivity 4-5, RSI length 14, higher timeframes (4H, Daily) for swing trading with maximum signal reliability.
**Active Trading**: Sensitivity 6-8, RSI length 8-10, intermediate timeframes (1H) for balanced signal frequency and quality.
**Scalping Setup**: Sensitivity 10-15, RSI length 5-8, lower timeframes (15-30min) with enhanced risk management protocols.
## Conclusion
The Mutanabby_AI Ultimate Algo Remastered+ combines proven trend-following principles with modern visual enhancements and comprehensive risk management. The algorithm's strength lies in its multi-layered confirmation approach and automated risk calculations, providing both novice and experienced traders with clear signals and systematic trade management.
Success with this system requires understanding the relationship between signal strength indicators and adapting sensitivity settings to match current market conditions. The comprehensive visual feedback system enables rapid decision-making while the automated risk management ensures consistent trade parameters.
Practice with different sensitivity settings and timeframes to optimize performance for your specific trading style and risk tolerance. The algorithm's systematic approach provides an excellent framework for disciplined trend-following strategies across various market environments.
Markov Chain Trend ProbabilityA Markov Chain is a mathematical model that predicts future states based on the current state, assuming that the future depends only on the present (not the past). Originally developed by Russian mathematician Andrey Markov, this concept is widely used in:
Finance: Risk modeling, portfolio optimization, credit scoring, algorithmic trading
Weather Forecasting: Predicting sunny/rainy days, temperature patterns, storm tracking
Here's an example of a Markov chain: If the weather is sunny, the probability that will be sunny 30 min later is say 90%. However, if the state changes, i.e. it starts raining, how the probability that will be raining 30 min later is say 70% and only 30% sunny.
Similar concept can be applied to markets price action and trends.
Mathematical Foundation
The core principle follows the Markov Property: P(X_{t+1}|X_t, X_{t-1}, ..., X_0) = P(X_{t+1}|X_t)
Transition Matrix :
-------------Next State
Current----
--------P11 P12
-----P21 P22
Probability Calculations:
P(Up→Up) = Count(Up→Up) / Count(Up states)
P(Down→Down) = Count(Down→Down) / Count(Down states)
Steady-state probability: π = πP (where π is the stationary distribution)
State Definition:
State = UPTREND if (Price_t - Price_{t-n})/ATR > threshold
State = DOWNTREND if (Price_t - Price_{t-n})/ATR < -threshold
How It Works in Trading
This indicator applies Markov Chain theory to market trends by:
Defining States: Classifies market conditions as UPTREND or DOWNTREND based on price movement relative to ATR (Average True Range)
Learning Transitions: Analyzes historical data to calculate probabilities of moving from one state to another
Predicting Probabilities: Estimates the likelihood of future trend continuation or reversal
How to Use
Parameters:
Lookback Period: Number of bars to analyze for trend detection (default: 14)
ATR Threshold: Sensitivity multiplier for state changes (default: 0.5)
Historical Periods: Sample size for probability calculations (default: 33)
Trading Applications:
Trend confirmation for entry/exit decisions
Risk assessment through probability analysis
Market regime identification
Early warning system for potential trend reversals
The indicator works on any timeframe and asset class. Enjoy!
ARSI – (VWAP & ATR) 3QKRAKThe ARSI Long & Short – Dynamic Risk Sizing (VWAP & ATR) indicator combines three core components—an adjusted RSI oscillator (ARSI), Volume‐Weighted Average Price (VWAP), and Average True Range (ATR)—so that entry/exit signals and position sizing are always tailored to current market conditions. ARSI, plotted from 0 to 100 with clearly marked overbought and oversold zones, is the primary signal driver: when ARSI falls below the lower threshold it indicates an excessive sell‐off and flags a long opportunity, whereas a break above the upper threshold signals overextended gains and foreshadows a short. A midpoint line at 50 can serve as an early exit or reduction signal when crossed against your position.
VWAP, showing the volume‐weighted average price over the chosen period, acts as a trend filter—long trades are only taken when price sits above VWAP, and shorts only when it’s below—ensuring each trade aligns with the prevailing market momentum. ATR measures current volatility and is used both to set safe stop‐loss levels and to dynamically size each position. In practice, this means positions automatically shrink in high‐volatility environments and grow in quieter markets, all while risking a fixed percentage of your capital.
Everything appears on a single chart: the ARSI pane below the price window with its reference levels; VWAP overlaid on the price; and the ATR‐based stop‐loss distances graphically displayed. Traders thus get a comprehensive, at-a-glance view of entries, exits, trend confirmation, and exactly how large a position they can safely take. The indicator runs in real time, removing the need for manual parameter calculations and letting you focus on strategic decision-making.
Multi TF Oscillators Screener [TradingFinder] RSI / ATR / Stoch🔵 Introduction
The oscillator screener is designed to simplify multi-timeframe analysis by allowing traders and analysts to monitor one or multiple symbols across their preferred timeframes—all at the same time. Users can track a single symbol through various timeframes simultaneously or follow multiple symbols in selected intervals. This flexibility makes the tool highly effective for analyzing diverse markets concurrently.
At the core of this screener lie two essential oscillators: RSI (Relative Strength Index) and the Stochastic Oscillator. The RSI measures the speed and magnitude of recent price movements and helps identify overbought or oversold conditions.
It's one of the most reliable indicators for spotting potential reversals. The Stochastic Oscillator, on the other hand, compares the current price to recent highs and lows to detect momentum strength and potential trend shifts. It’s especially effective in identifying divergences and short-term reversal signals.
In addition to these two primary indicators, the screener also displays helpful supplementary data such as the dominant candlestick type (Bullish, Bearish, or Doji), market volatility indicators like ATR and TR, and the four key OHLC prices (Open, High, Low, Close) for each symbol and timeframe. This combination of data gives users a comprehensive technical view and allows for quick, side-by-side comparison of symbols and timeframes.
🔵 How to Use
This tool is built for users who want to view the behavior of a single symbol across several timeframes simultaneously. Instead of jumping between charts, users can quickly grasp the state of a symbol like gold or Bitcoin across the 15-minute, 1-hour, and daily timeframes at a glance. This is particularly useful for traders who rely on multi-timeframe confirmation to strengthen their analysis and decision-making.
The tool also supports simultaneous monitoring of multiple symbols. Users can select and track various assets based on the timeframes that matter most to them. For example, if you’re looking for entry opportunities, the screener allows you to compare setups across several markets side by side—making it easier to choose the most favorable trade. Whether you’re a scalper focused on low timeframes or a swing trader using higher ones, the tool adapts to your workflow.
The screener utilizes the widely-used RSI indicator, which ranges from 0 to 100 and highlights market exhaustion levels. Readings above 70 typically indicate potential pullbacks, while values below 30 may suggest bullish reversals. Viewing RSI across timeframes can reveal meaningful divergences or alignments that improve signal quality.
Another key indicator in the screener is the Stochastic Oscillator, which analyzes the closing price relative to its recent high-low range. When the %K and %D lines converge and cross within the overbought or oversold zones, it often signals a momentum reversal. This oscillator is especially responsive in lower timeframes, making it ideal for spotting quick entries or exits.
Beyond these oscillators, the table includes other valuable data such as candlestick type (bullish, bearish, or doji), volatility measures like ATR and TR, and complete OHLC pricing. This layered approach helps users understand both market momentum and structure at a glance.
Ultimately, this screener allows analysts and traders to gain a full market overview with just one look—empowering faster, more informed, and lower-risk decision-making. It not only saves time but also enhances the precision and clarity of technical analysis.
🔵 Settings
🟣 Display Settings
Table Size : Lets you adjust the table’s visual size with options such as: auto, tiny, small, normal, large, huge.
Table Position : Sets the screen location of the table. Choose from 9 possible positions, combining vertical (top, middle, bottom) and horizontal (left, center, right) alignments.
🟣 Symbol Settings
Each of the 10 symbol slots comes with a full set of customizable parameters :
Enable Symbol : A checkbox to activate or hide each symbol from the table.
Symbol : Define or select the asset (e.g., XAUUSD, BTCUSD, EURUSD, etc.).
Timeframe : Set your desired timeframe for each symbol (e.g., 15, 60, 240, 1D).
RSI Length : Defines the period used in RSI calculation (default is 14).
Stochastic Length : Sets the period for the Stochastic Oscillator.
ATR Length : Sets the length used to calculate the Average True Range, a key volatility metric.
🔵 Conclusion
By combining powerful oscillators like RSI and Stochastic with full customization over symbols and timeframes, this tool provides a fast, flexible solution for technical analysts. Users can instantly monitor one or several assets across multiple timeframes without opening separate charts.
Individual configuration for each symbol, along with the inclusion of key metrics like candlestick type, ATR/TR, and OHLC prices, makes the tool suitable for a wide range of trading styles—from scalping to swing and position trading.
In summary, this screener enables traders to gain a clear, high-level view of various markets in seconds and make quicker, smarter, and lower-risk decisions. It saves time, streamlines analysis, and boosts overall efficiency and confidence in trading strategies.
SOXL Trend Surge v3.0.2 – Profit-Only RunnerSOXL Trend Surge v3.0.2 – Profit-Only Runner
This is a trend-following strategy built for leveraged ETFs like SOXL, designed to ride high-momentum waves with minimal interference. Unlike most short-term scalping scripts, this model allows trades to develop over multiple days to even several months, capitalizing on the full power of extended directional moves — all without using a stop-loss.
🔍 How It Works
Entry Logic:
Price is above the 200 EMA (long-term trend confirmation)
Supertrend is bullish (momentum confirmation)
ATR is rising (volatility expansion)
Volume is above its 20-bar average (liquidity filter)
Price is outside a small buffer zone from the 200 EMA (to avoid whipsaws)
Trades are restricted to market hours only (9 AM to 2 PM EST)
Cooldown of 15 bars after each exit to prevent overtrading
Exit Strategy:
Takes partial profit at +2× ATR if held for at least 2 bars
Rides the remaining position with a trailing stop at 1.5× ATR
No hard stop-loss — giving space for volatile pullbacks
⚙️ Strategy Settings
Initial Capital: $500
Risk per Trade: 100% of equity (fully allocated per entry)
Commission: 0.1%
Slippage: 1 tick
Recalculate after order is filled
Fill orders on bar close
Timeframe Optimized For: 45-minute chart
These parameters simulate an aggressive, high-volatility trading model meant for forward-testing compounding potential under realistic trading costs.
✅ What Makes This Unique
No stop-loss = fewer premature exits
Partial profit-taking helps lock in early wins
Trailing logic gives room to ride large multi-week moves
Uses strict filters (volume, ATR, EMA bias) to enter only during high-probability windows
Ideal for leveraged ETF swing or position traders looking to hold longer than the typical intraday or 2–3 day strategies
⚠️ Important Note
This is a high-risk, high-reward strategy meant for educational and testing purposes. Without a stop-loss, trades can experience deep drawdowns that may take weeks or even months to recover. Always test thoroughly and adjust position sizing to suit your risk tolerance. Past results do not guarantee future returns. Backtest range: May 8, 2020 – May 23, 2025
Range Progress TrackerRANGE PROGRESS TRACKER(RPT)
PURPOSE
This indicator helps traders visually and statistically understand how much of the typical price range (measured by ATR) has already been covered in the current period (Daily, Weekly, or Monthly). It includes key features to assist in trend exhaustion analysis, reversal spotting, and smart alerting.
CORE LOGIC
The indicator calculates the current range of the selected time frame (e.g., Daily), which is:
Current Range = High - Low
This is then compared to the ATR (Average True Range) of the same time frame, which represents the average price movement range over a defined period (default is 14).
The comparison is expressed as a percentage, calculated with this formula:
Range % = (Current Range / ATR) × 100
This percentage shows how much of the “average expected move” has already occurred.
WHY IT MATTERS
When the current range approaches or exceeds 100% of ATR, it means the price has already moved as much as it typically does in a full session.
This indicates a lower probability of continuing the trend with a new high or low, especially when the price is already near the session's high or low.
This setup can signal:
A possible consolidation phase
A reversal in trend
The market entering a corrective phase
SMART ALERTS
The indicator can alert you when:
A new high is made after the range percentage exceeds your set threshold.
A new low is made after the range percentage exceeds your set threshold.
You can adjust the Range % Alert Threshold in the settings to tailor it to your trading style.
Momentum Long + Short Strategy (BTC 3H)Momentum Long + Short Strategy (BTC 3H)
🔍 How It Works, Step by Step
Detect the Trend (📈/📉)
Calculate two moving averages (100-period and 500-period), either EMA or SMA.
For longs, we require MA100 > MA500 (uptrend).
For shorts, we block entries if MA100 exceeds MA500 by more than a set percentage (to avoid fading a powerful uptrend).
Apply Momentum Filters (⚡️)
RSI Filter: Measures recent strength—only allow longs when RSI crosses above its smoothed average, and shorts when RSI dips below the oversold threshold.
ADX Filter: Gauges trend strength—ensures we only enter when a meaningful trend exists (optional).
ATR Filter: Confirms volatility—avoids choppy, low-volatility conditions by requiring ATR to exceed its smoothed value (optional).
Confirm Entry Conditions (✅)
Long Entry:
Price is above both MAs
Trend alignment & optional filters pass ✅
Short Entry:
Price is below both MAs and below the lower Bollinger Band
RSI is sufficiently oversold
Trend-blocker & ATR filter pass ✅
Position Sizing & Risk (💰)
Each trade uses 100 % of account equity by default.
One pyramid addition allowed, so you can scale in if the move continues.
Commission and slippage assumptions built in for realistic backtests.
Stops & Exits (🛑)
Long Stop-Loss: e.g. 3 % below entry.
Long Auto-Exit: If price falls back under the 500-period MA.
Short Stop-Loss: e.g. 3 % above entry.
Short Take-Profit: e.g. 4 % below entry.
🎨 Why It’s Powerful & Customizable
Modular Filters: Turn on/off RSI, ADX, ATR filters to suit different market regimes.
Adjustable Thresholds: Fine-tune stop-loss %, take-profit %, RSI lengths, MA gaps and more.
Multi-Timeframe Potential: Although coded for 3 h BTC, you can adapt it to stocks, forex or other cryptos—just recalibrate!
Backtest Fine-Tuned: Default settings were optimized via backtesting on historical BTC data—but they’re not guarantees of future performance.
⚠️ Warning & Disclaimer
This strategy is for educational purposes only and designed for a toy fund. Crypto markets are highly volatile—you can lose 100 % of your capital. It is not a predictive “holy grail” but a rules-based framework using past data. The parameters have been fine-tuned on historical data and are not valid for future trades without fresh calibration. Always practice with paper-trading first, use proper risk management, and do your own research before risking real money. 🚨🔒
Good luck exploring and experimenting! 🚀📊
ADR & ATR Extension from EMAThis indicator helps identify how extended the current price is from a chosen Exponential Moving Average (EMA) in terms of both Average Daily Range (ADR) and Average True Range (ATR).
It calculates:
ADR Extension = (Price - EMA) / ADR
ATR Extension = (Price - EMA) / ATR
The results are shown in a floating table on the chart.
The ADR line turns red if the price is more than 4 ADRs above the selected EMA
Customization Options:
- Select EMA length
- Choose between close or high as price input
- Set ADR and ATR periods
- Customize the label’s position, color, and transparency
- Use the chart's timeframe or a fixed timeframe
